MKTG30009 Chap.8 Social, Community and Algorithmic Distribution

Social, Community and Algorithmic Distribution

Define social graph

The course material gives this chapter a concrete anchor: Week 8 covers social, community and the algorithm; Assignment 1 explains TikTok's interest-graph logic.

That social graph anchor controls how interest graph is explained and how community management is tested in changed practice.

Social, Community and Algorithmic Distribution frames a decision through social graph, interest graph and community management.

The objective is to design content and moderation around distribution and community norms, so the chapter should be read as a chain from problem definition to evidence, option comparison and accountable action.

Start with social graph and name the decision owner, affected stakeholders and time horizon.

The same social graph fact can matter differently across those positions, so the opening frame determines which evidence is relevant.

Use interest graph to explain how the present condition produces an opportunity, cost or risk.

A strong interest graph mechanism states what changes, for whom and through which organisational, market or institutional process.

Trace interest graph

Apply community management when comparing options. Keep the community management criteria distinct, test trade-offs and ask which assumption drives the recommendation.

A score or matrix helps only when its criteria are justified by the case.

For the application — design content and moderation around distribution and community norms — finish with an actor, action, rationale and review trigger. This turns the community management analysis into a recommendation while keeping the decision open to new evidence.

Build a decision ledger.

Separate the current condition, the stakeholder affected, the evidence supporting social graph, the mechanism represented by interest graph and the criterion supplied by community management.

If a community management recommendation cannot point back to one of those entries, it is probably preference dressed as analysis rather than a consequence of the case.

Compare at least two feasible options against the same criteria. State who benefits under community management, who bears cost or risk, what capability implementation requires and what evidence would reveal failure.

This comparison is essential when students need to design content and moderation around distribution and community norms, because an attractive option is not defensible until its trade-offs are visible.

Test with community management

Rehearse the mktg30009 social graph response as a short briefing: one sentence for the decision, two for the evidence and mechanism, one for the alternative and one for the qualified recommendation.

Then expand only the interest graph move that needs more support. This protects the argument structure under a strict word or time limit.

A complete response should make the task visible before the detail: identify what must be decided, define the relevant terms, connect the evidence to interest graph, and use community management to test the result.

The final sentence about community management should answer the question actually asked rather than merely repeat the topic.

The controlling limit is specific: Platform reach is rented, volatile and shaped by opaque recommendation systems.

Keep that community management limit beside the worked example, because it separates a careful mktg30009 answer from one that sounds confident but claims more than the task or evidence supports.

For revision, retrieve social graph, interest graph and community management without notes, explain their relationship aloud, then complete a changed version of the application: design content and moderation around distribution and community norms.

Record the first failed interest graph reasoning move and repair it before attempting another case.

What this chapter covers

• 01

  social graph

• 02

  interest graph

• 03

  community management

• 04

  Applying social graph

• 05

  Limits of interest graph and community management

Plan a sensitive-topic post

Key terms

social graph

Network of relationships used to connect accounts and distribute information. This chapter uses the concept when students design content and moderation around distribution and community norms. Use this definition when the task is to design content and moderation around distribution and community norms.

interest graph

Distribution model based on inferred content interests beyond follower relationships. It helps explain the reasoning required to design content and moderation around distribution and community norms. Use this definition when the task is to design content and moderation around distribution and community norms.

community management

Ongoing facilitation, response and governance of participant interaction. Its limit matters because platform reach is rented, volatile and shaped by opaque recommendation systems. Use this definition when the task is to design content and moderation around distribution and community norms.

Social, Community and Algorithmic Distribution FAQ

Exam move

Reconstruct the relationship among social graph, interest graph and community management; complete the chapter application without notes; then test the result against this limit: Platform reach is rented, volatile and shaped by opaque recommendation systems.

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